Abstract
Unsupervised contextual measures can effectively encode useful information regarding the dataset structure. Rank-based measures can properly model situations which indicates similarity relationships with a high degree of confidence. In such situations, the objects involved are included in a expanded training set, allowing a weakly supervised learning strategies.